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Wheat planting region segmentation and yield prediction method

A technology for area segmentation and yield prediction, applied in the fields of image processing and remote sensing, can solve the problems of unguaranteed model prediction results, large amount of meteorological environment data, and algorithm convergence, etc., to save manpower and time costs, good robustness and Accuracy, the effect of accurate yield forecast results

Inactive Publication Date: 2021-01-05
浙江大学中原研究院 +1
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Problems solved by technology

However, the crop growth characteristic indicators based on multispectral calculations and the meteorological environment data obtained by remote sensing satellite sensors are relatively large, and a simple one-dimensional linear equation cannot fit a large amount of data; There is no strict mathematical convergence and theoretical proof of finding the optimal value for the algorithm of this class, so there is no guarantee that the model can achieve better prediction results

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  • Wheat planting region segmentation and yield prediction method
  • Wheat planting region segmentation and yield prediction method

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Embodiment Construction

[0035]In order to describe the present invention in more detail, the technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0036]Such asfigure 1 As shown, the present invention introduces a method applied to multi-spectral remote sensing image segmentation processing and winter wheat yield estimation, and the specific steps are as follows:

[0037]Step S1: Obtain the data required by the winter wheat planting area segmentation and yield estimation model, including historical multi-spectral remote sensing data of the target area and historical meteorological environment data of the target area.

[0038]Taking into account the interval between the different growth stages of winter wheat and the time of the remote sensing satellite circling the earth, it is necessary to collect the multi-spectral remote sensing image and corresponding meteorological environment data of the area, starting from the pla...

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Abstract

The invention discloses a wheat planting area segmentation and yield prediction method, and existing open multispectral remote sensing data and satellite monitoring meteorological environment data areused to realize the accurate segmentation of a winter wheat planting area and a scientific yield estimation method. Therefore, the time, labor and financial costs caused by large-scale on-site surveying and mapping and meteorological monitoring are avoided. Meanwhile, the model has good mobility, can be applied to the segmentation of a planting area of winter wheat and the prediction of the yieldand can also be effectively applied to other crops, and agricultural modernization and business become possible.

Description

Technical field[0001]The invention belongs to the technical field of image processing and remote sensing, and specifically relates to a method for segmentation and yield prediction of wheat planting regions.Background technique[0002]The growth of wheat is affected by many external environmental factors such as solar radiation, atmosphere, hydrology, soil and so on. Through the comprehensive application of professional knowledge in the field of remote sensing and mathematical optimization algorithms, a quantitative expression of the external environmental factors of wheat growth and the biological growth characteristics of wheat through multi-spectrum are obtained, and thus the segmentation of the planting area and the construction of a yield estimation model are realized. Due to the need to collect more statistical growth environment data, the manual use of instruments for field monitoring will inevitably consume a lot of manpower and material resources. Reliable and stable monitori...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/34G06Q10/04G06Q10/06G06Q50/02
CPCG06Q10/04G06Q10/06393G06Q50/02G06V20/194G06V20/188G06V10/267
Inventor 邓水光李畅陈中平王如杰
Owner 浙江大学中原研究院
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